Triple

T20818204
Position Surface form Disambiguated ID Type / Status
Subject Hubert Selby Jr. E512499 entity
Predicate influenced P9 FINISHED
Object Anthony Bourdain NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Anthony Bourdain | Statement: [Hubert Selby Jr., influenced, Anthony Bourdain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Bourdain
Context triple: [Hubert Selby Jr., influenced, Anthony Bourdain]
  • A. Anthony Bourdain chosen
    Anthony Bourdain was an American chef, author, and television host renowned for his culinary travel shows and candid storytelling about food and culture.
  • B. Michael Symon
    Michael Symon is an American chef, restaurateur, and television personality best known for his bold, meat-centric cooking and frequent appearances on Food Network.
  • C. Mario Batali
    Mario Batali is an American chef, restaurateur, and television personality known for his Italian cuisine and prominent role on food competition shows.
  • D. Richard Blais
    Richard Blais is an American chef, restaurateur, and television personality known for his inventive, modernist cooking and frequent appearances on culinary competition shows.
  • E. Dan Barber
    Dan Barber is an influential American chef, restaurateur, and farm-to-table advocate known for his work at Blue Hill and his leadership in sustainable, ethical food practices.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f429388190809dd532278fe310 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.